Calculate Standard Deviation of Strided Array Ignoring NaN Values

Welcome to the repository for calculating the standard deviation of a double-precision floating-point strided array while ignoring NaN values. This repository implements a one-pass algorithm proposed by Youngs and Cramer. If you are working with arrays in JavaScript and need to compute the standard deviation while handling NaN values efficiently, this is the library for you.

Description

In statistics, standard deviation is a measure of the amount of variation or dispersion in a set of values. When dealing with arrays of data, it's essential to calculate the standard deviation accurately. This repository provides a solution specifically tailored for double-precision floating-point strided arrays, ensuring that NaN values are excluded from the calculation.

Features

• One-pass algorithm for calculating standard deviation
• Handles NaN values in the array
• Optimized for double-precision floating-point data
• Easy integration into Node.js projects

Repository Details

• Repository Name: stats-strided-dnanstdevyc
• Topics: array, deviation, dispersion, javascript, math, mathematics, node, node-js, nodejs, sample-standard-deviation, standard-deviation, statistics, stats, stdlib, strided, strided-array, typed, unbiased, var, variance

How to Use

To access the latest release and download the necessary files, visit Releases.

Code Example

javascript // Example code snippet for using the standard deviation calculation library const stridedArray = [1.2, 3.4, NaN, 5.6, 7.8]; const standardDeviation = calculateStandardDeviation(stridedArray); console.log("Standard Deviation:", standardDeviation);

Implementation

The standard deviation calculation in this repository follows the efficient one-pass algorithm proposed by Youngs and Cramer. This algorithm simplifies the process of computing the standard deviation while handling NaN values in the input array seamlessly.

Performance

By utilizing the one-pass algorithm and optimized data processing techniques, the standard deviation calculation is both accurate and efficient. This ensures that statistical analysis on large datasets can be performed swiftly without sacrificing precision.

Integration

Integrate this standard deviation calculation library into your Node.js projects easily. Whether you are working on statistical analysis, data processing, or any other application requiring precise deviation calculations, this library provides a robust solution.

Statistics and Math

The repository covers a range of statistical topics, including deviation, variance, and unbiased estimation. By focusing on the math behind standard deviation calculations, users can trust the accuracy and reliability of the results obtained.

Stay Updated

For the latest updates and releases of the standard deviation calculation library, be sure to check the Releases section regularly. Stay informed about new features, improvements, and bug fixes.

Contact Us

If you have any questions, suggestions, or feedback regarding the standard deviation calculation library, feel free to reach out. Your input is valuable in enhancing the functionality and usability of this tool.

By following the best practices in statistical analysis and data processing, the stats-strided-dnanstdevyc repository provides a reliable solution for calculating standard deviation in double-precision floating-point strided arrays. Avoiding the complexities of handling NaN values and utilizing an efficient one-pass algorithm, this library offers a practical and effective tool for developers working with statistical data in JavaScript projects. Visit the Releases section for easy access to the latest version and start incorporating accurate standard deviation calculations into your applications today.